摘要
该文在对Web使用挖掘的相关研究基础上,为了深入分析消费者的网上购物行为,提出了结合点击流数据的方法,利用多维关联规则算法从用户的购买历史记录中挖掘出用户的购买模式及商品间的联系,向用户提供个性化推荐。
Abstract: In the paper,in order to analyze the customers" behavior on internet,author put forward a method of combination of click-stream data based on the related research of web usage mining,using multidimensional association rules algorithm to mine the mode of purchase behavior and the internal relations between products from customers" history transaction records, for providing personalized recommendation.
作者
邹丽新
ZOU li-xin (Fujian Jiangxia University, Fuzhou 350108, China)
出处
《电脑知识与技术》
2011年第11期7594-7596,共3页
Computer Knowledge and Technology
关键词
点击流
数据仓库
WEB使用挖掘
多维关联规则
clickstream
datawarehouse
Web usage mining
multidimensional association rule